on a set of data and the relevant forms of pictorial presentation or data display. The decision is based on the scale of measurement of the data. These scales are nominal, ordinal and numerical.
Nominal scale
A nominal scale is where:
the data can be classified numerical or named categories, and
the order in which these categories can be written or asked is arbitrary.
Ordinal scale
An ordinal scale is where:
the data can be classified into non-numerical or named categories
an inherent order exists among the response categories.
Ordinal scales are seen in questions that call for ratings of quality (for example, very good, good, fair, poor, very poor) and agreement (for example, strongly agree, agree, disagree, strongly disagree).
Numerical scale
A numerical scale is:
where numbers represent the possible response categories
there is a natural ranking of the categories zero on the scale has meaning
there is a quantifiable difference within categories and between consecutive categories.